Postdoctoral position in data linking, Toulouse (France)

Data linking is the scientific challenge of automatically establishing typed links between the entities of two or more structured datasets. A variety of complex data linking systems exists, evaluated on public benchmarks. While they have allowed for the generation of vast amounts of linked data in the context of various dedicated projects, data generic systems often have limited applicability in many real-world scenarios, where data are highly heterogeneous and domain-specific. The ANR project DACE-DL (DAta-CEntric AI-driven Data Linking) targets a paradigm shift in the data linking field with a data-centric bottom-up methodology relying on machine learning and representation learning models. We hypothesize there exists a finite number of identifiable and generalisable linking problem types (LPTs), that we need to categorize and analyse to provide better linking results.

Starting period: January 2022 - duration of 24 months. Localization : Institut de Recherche en informatique de Toulouse (IRIT). Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology matching and data linking. Fluency in written / spoken English is required too. A good publication record and strong programming skills will be a plus.

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